Adaptive Dynamics Simulation of Interference Phenomenon for Physical and Biological Systems

被引:2
|
作者
Ando, Tadashi [1 ]
Asano, Masanari [2 ]
Khrennikov, Andrei [3 ]
Matsuoka, Takashi [4 ]
Yamato, Ichiro [5 ]
机构
[1] Tokyo Univ Sci, Dept Appl Elect, 6-3-1 Niijuku,Katsushika Ku, Tokyo 1258585, Japan
[2] Kindai Univ, Fac Humanity Oriented Sci & Engn, Dept Informat & Comp Sci, 11-6 Kayanomori, Iizuka, Fukuoka 8208555, Japan
[3] Linnaeus Univ, Int Ctr Math Modelling Phys & Cognit Sci, SE-35195 Vaxjo, Sweden
[4] Suwa Univ Sci, Sch Gen Educ & Management Studies, 5000-1 Toyohira, Chino, Nagano 3910292, Japan
[5] Tokyo Univ Sci, Dept Biol Sci & Technol, 6-3-1 Niijuku,Katsushika Ku, Tokyo 1258585, Japan
关键词
two-slit interference; adaptive dynamics; interaction network; quantum mechanics; particle model simulation; QUANTUM; LOOPHOLE; COMPUTER; MODEL;
D O I
10.3390/e25111487
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Biological systems have been shown to have quantum-like behaviors by applying the adaptive dynamics view on their interaction networks. In particular, in the process of lactose-glucose metabolism, cells generate probabilistic interference patterns similarly to photons in the two-slit experiment. Such quantum-like interference patterns can be found in biological data, on all scales, from proteins to cognitive, ecological, and social systems. The adaptive dynamics approach covers both biological and physical phenomena, including the ones which are typically associated with quantum physics. We guess that the adaptive dynamics can be used for the clarification of quantum foundations, and the present paper is the first step in this direction. We suggest the use of an algorithm for the numerical simulation of the behavior of a billiard ball-like particle passing through two slits by explicitly considering the influence of the two-slit environment (experimental context). Our simulation successfully mimics the interference pattern obtained experimentally in quantum physics. The interference of photons or electrons by two slits is known as a typical quantum mechanical effect. We do not claim that the adaptive dynamics can reproduce the whole body of quantum mechanics, but we hope that this numerical simulation example will stimulate further extensive studies in this direction-the representation of quantum physical phenomena in an adaptive dynamical framework.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Adaptive management of biological systems: A review
    Westgate, Martin J.
    Likens, Gene E.
    Lindenmayer, David B.
    [J]. BIOLOGICAL CONSERVATION, 2013, 158 : 128 - 139
  • [42] Clustering Algorithms to Analyze Molecular Dynamics Simulation Trajectories for Complex Chemical and Biological Systems
    Peng, Jun-hui
    Wang, Wei
    Yu, Ye-qing
    Gu, Han-lin
    Huang, Xuhui
    [J]. CHINESE JOURNAL OF CHEMICAL PHYSICS, 2018, 31 (04) : 404 - 420
  • [43] Physical simulation for electrolocation systems
    Zatenko, N.A.
    Nikolov, O.T.
    Parkhomenko, M.V.
    [J]. Radioelectronics and Communications Systems (English translation of Izvestiya Vysshikh Uchebnykh Zavedenii Radioelektronika), 1988, 31 (09): : 51 - 52
  • [44] Conflict and Interference Resolution for Physical Annotation Systems
    Alzahrani, Ahmad A.
    Loke, Seng W.
    Lu, Hongen
    [J]. 2013 12TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2013), 2013, : 1331 - 1338
  • [45] Simulation modeling of physical dispersion phenomenon observed in experimental data
    Golabek, Andrzej
    [J]. NAFTA-GAZ, 2019, (02): : 94 - 100
  • [46] PHYSICAL BACKGROUND OF CYCLES IN BIOLOGICAL SYSTEMS
    MOROWITZ, HJ
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 1966, 13 (DEC) : 60 - &
  • [47] Molecular simulation in the chemical, physical and biological sciences
    Veda, A
    [J]. MOLECULAR SIMULATION, 1996, 16 (4-6) : R1 - R1
  • [48] CONTROL IN BIOLOGICAL SYSTEMS - PHYSICAL REVIEW
    IBERALL, AS
    CARDON, SZ
    [J]. ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, 1964, 117 (A1) : 445 - &
  • [49] PHYSICAL APPROACH TO THE STUDY OF BIOLOGICAL SYSTEMS
    RANDALL, JT
    [J]. NATURE, 1949, 164 (4169) : 521 - 522
  • [50] PHYSICAL STATE OF WATER IN BIOLOGICAL SYSTEMS
    LING, GN
    [J]. FOOD TECHNOLOGY, 1968, 22 (10) : 1254 - &